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Machine Learning Architect Jobs in Virginia (NOW HIRING)

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

You will collaborate closely with product managers, architects, and application teams to deliver ... machine learning, AI engineering, or applied ML Strong proficiency in Python for ML and backend ...

Lead Machine Learning Engineer (IC)

Mclean, VA · On-site +1

$103K - $136K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Lead Machine Learning Engineer (IC)

Richmond, VA · On-site +1

$101K - $133K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Lead Machine Learning Engineer (IC)

Richmond, VA · On-site +1

$101K - $133K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You'll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world ...

Showing results 21-40

Machine Learning Architect information

See Virginia salary details

$46.1K

$127.7K

$199.8K

How much do machine learning architect jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning architect in Virginia is $127,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $164,600.00 per year, depending on experience, location, and employer.

What does a machine learning architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What skills and qualifications are needed to be a machine learning architect?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What is the salary of a machine learning architect?

The salary of a machine learning architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, cloud platforms, or specific tools may earn higher compensation, often exceeding $180,000 per year.

What are the most commonly searched types of Machine Learning Architect jobs in Virginia?

The most popular types of Machine Learning Architect jobs in Virginia are:

Infographic showing various Machine Learning Architect job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $127,651 per year, or $61.4 per hour.

Web Application Architect 1- Machine Learning

Bloomberg Industry Group

Arlington, VA • On-site

$110K - $140K/yr

Full-time

Re-posted 11 hours ago


Job description

A Machine Learning Engineer who will innovate and deliver valuable AI and ML solutions as part of ML team. Responsible for development, integration, delivery, and support of ML solutions, this individual must be a self-directed professional. In addition to a strong foundation of ML and AI knowledge they must possess excellent communication skills with a demonstrated ability to collaborate across teams.
What you will do:
  • Implement machine learning based solutions to address business challenges, adhering to INDG best practices with integration of AWS services.
  • Collaborate with cross-functional teams to gather requirements, propose technical solutions, and shape project architecture with cloud infrastructure considerations.
  • Architect and implement scalable, high-performance machine learning pipelines and infrastructure utilizing AWS and DevOps practices.
  • Build enterprise applications at-scale using expertise in computer science fundamentals.
  • Use metrics to make data-driven decisions.
  • Diagnose and fix production issues.
  • Write and maintain production-quality code.
  • Participate in special projects and perform other duties as assigned.

You need to have:
  • Bachelor's degree in mathematics, Statistics, Computer Science, or a related STEM field or Bachelor's degree in any subject with a Master's degree or higher in a STEM field required.
  • 1+ years of software development experience and/or commensurate skills building commercial and ML applications.
  • 1+ years' experience and/or commensurate skills with an object-oriented programming language such as Java or Python, ML/AI frameworks, libraries, data structures and data modeling techniques
  • Knowledge of professional software engineering practices and the full software development life cycle, including coding standards, architecture/design patterns, code reviews, source control management, build processes, testing, and operations.

Compensation Range:
$110,000.00-$140,000.00
Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.
Equal Opportunity
Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law ("Protected Characteristic"). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics ("Discrimination").